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Books and Theses
- 2015
[b1]Ali Frihida:
Contribution à la modélisation des données spatio-temporelles. (Conttribution to spatio-temporl modelling). Tunis El Manar University, France, 2015
Journal Articles
- 2024
- [j7]Ameer Ali Shaalan, Wafa Mefteh, Ali Mohsen Frihida:
Review on deep learning classifiers for faults diagnosis of rotating industrial machinery. Serv. Oriented Comput. Appl. 18(4): 361-379 (2024) - 2022
- [j6]Imen Ferjani, Minyar Sassi Hidri, Ali Frihida:
SiNoptiC: swarm intelligence optimisation of convolutional neural network architectures for text classification. Int. J. Comput. Appl. Technol. 68(1): 82-100 (2022) - 2021
- [j5]Jemai Bornia, Ali Frihida:
Combining Deep Learning and Ontology to Reveal Video Sequences Semantics. Rev. d'Intelligence Artif. 35(2): 131-138 (2021) - 2010
- [j4]Donia Triki, Ali Frihida, Henda Hajjami Ben Ghézala, Christophe Claramunt:
Modèle et langage pour la manipulation de trajectoires spatio-temporelles. Rev. Int. Géomatique 20(1): 37-64 (2010) - 2004
- [j3]Ali Frihida, Danielle J. Marceau, Marius Thériault:
Development of a Temporal Extension to Query Travel Behavior Time Paths Using an Object-Oriented GIS. GeoInformatica 8(3): 211-235 (2004) - 2003
- [j2]Ali Frihida, Danielle J. Marceau, Marius Thériault:
Dimension temporelle et modélisation d'une animation cartographique dans un SIG orienté objet. Rev. Int. Géomatique 13(1): 107-127 (2003) - 2002
- [j1]Ali Frihida, Danielle J. Marceau, Marius Thériault:
Spatio-Temporal Object-Oriented Data Model for Disaggregate Travel Behavior. Trans. GIS 6(3): 277-294 (2002)
Conference and Workshop Papers
- 2021
- [c11]Imen Ferjani
, Minyar Sassi Hidri, Ali Frihida:
Multi-GPU-based Convolutional Neural Networks Training for Text Classification. IntelliSys (1) 2021: 72-84 - 2020
- [c10]Jemai Bornia, Ali Frihida, Olivier Debauche, Sidi Ahmed Mahmoudi, Pierre Manneback:
Deep Learning and Approach for Tracking People's Movements in a Video. Cloudtech 2020: 1-6 - 2019
- [c9]Karim Foughali, Karim Fathallah, Ali Frihida:
A Cloud-IOT Based Decision Support System for Potato Pest Prevention. EUSPN/ICTH 2019: 616-623 - [c8]Eman Ferjani, Adel Hidri, Minyar Sassi Hidri, Ali Frihida:
MapReduce-Based Convolutional Neural Network for Text Categorization. ICCCI (2) 2019: 155-166 - 2018
- [c7]Karim Foughali, Karim Fathallah, Ali Frihida:
Using Cloud IOT for disease prevention in precision agriculture. ANT/SEIT 2018: 575-582 - [c6]Jemai Bornia, Sidi Ahmed Mahmoudi, Ali Frihida, Pierre Manneback:
Towards a Semantic Video Analysis using Deep Learning and Ontology. Cloudtech 2018: 1-6 - 2017
- [c5]Karim Foughali, Fathallah Karim, Ali Frihida:
Monitoring system using web of things in precision agriculture. FNC/MobiSPC 2017: 402-409 - 2016
- [c4]Mohamed Omar Kebaili, Karim Foughali, Fathallah Karim, Ali Frihida, Tahar Ezzeddine, Christophe Claramunt:
Landsliding Early Warning Prototype Using MongoDB and Web of Things Technologies. EUSPN/ICTH 2016: 578-583 - 2015
- [c3]Donia Zheni, Ali Frihida, Christophe Claramunt, Henda Hajjami Ben Ghézala:
A Semantic-Based Data Model for the Manipulation of Trajectories: Application to Urban Transportation. W2GIS 2015: 124-142 - 2009
- [c2]Ali Frihida, Donia Zheni, Henda Hajjami Ben Ghézala, Christophe Claramunt:
Modeling Trajectories: A Spatio-Temporal Data Type Approach. DEXA Workshops 2009: 447-451 - [c1]Donia Zheni, Ali Frihida, Henda Hajjami Ben Ghézala, Christophe Claramunt:
A Semantic Approach for the Modeling of Trajectories in Space and Time. ER Workshops 2009: 347-356
Coauthor Index
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